Combining T1rho and Advanced Diffusion MRI for Noninvasively Staging Liver Fibrosis: an Experimental Study in Rats

Overview

Journal Abdom Radiol (NY)

Publisher Springer

Specialties Gastroenterology
Radiology

Date 2024 Apr 12

PMID 38607572

Authors

Yiwan Guo

Tingting Guo

Chen Huang

Peng Sun

Zhigang Wu

Ziwei Jin

Chuansheng Zheng

Xin Li

Affiliations

Soon will be listed here.

Abstract

Purpose: To investigate the value of imaging parameters derived from T1 relaxation times in the rotating frame (T1ρ or T1rho), diffusion kurtosis imaging (DKI) and intravoxel incoherent motion (IVIM) in assessment of liver fibrosis in rats and propose an optimal diagnostic model based on multiparametric MRI.

Methods: Thirty rats were divided into one control group and four fibrosis experimental groups (n = 6 for each group). Liver fibrosis was induced by administering thioacetamide (TAA) for 2, 4, 6, and 8 weeks. T1ρ, mean kurtosis (MK), mean diffusivity (MD), perfusion fraction (f), true diffusion coefficient (D), and pseudo-diffusion coefficient (D*) were measured and compared among different fibrosis stages. An optimal diagnostic model was established and the diagnostic efficiency was evaluated by receiver operating characteristic (ROC) curve analysis.

Results: The mean AUC values, sensitivity, and specificity of T1ρ and MD derived from DKI across all liver fibrosis stages were comparable but much higher than those of other imaging parameters (0.954, 92.46, 91.85 for T1ρ; 0.949, 92.52, 91.24 for MD). The model combining T1ρ and MD exhibited better diagnostic performance with higher AUC values than any individual method for staging liver fibrosis (≥ F1: 1.000 (0.884-1.000); ≥ F2: 0.935 (0.782-0.992); ≥ F3: 0.982 (0.852-1.000); F4: 0.986 (0.859-1.000)).

Conclusion: Among the evaluated imaging parameters, T1ρ and MD were superior for differentiating varying liver fibrosis stages. The model combining T1ρ and MD was promising to be a credible diagnostic biomarker to detect and accurately stage liver fibrosis.

References

Kisseleva T, Brenner D . Molecular and cellular mechanisms of liver fibrosis and its regression. Nat Rev Gastroenterol Hepatol. 2020; 18(3):151-166. DOI: 10.1038/s41575-020-00372-7. View

Caligiuri A, Gentilini A, Pastore M, Gitto S, Marra F . Cellular and Molecular Mechanisms Underlying Liver Fibrosis Regression. Cells. 2021; 10(10). PMC: 8534788. DOI: 10.3390/cells10102759. View

Shi Y, Qi Y, Lan G, Wu Q, Ma B, Zhang X . Three-dimensional MR Elastography Depicts Liver Inflammation, Fibrosis, and Portal Hypertension in Chronic Hepatitis B or C. Radiology. 2021; 301(1):154-162. PMC: 8475654. DOI: 10.1148/radiol.2021202804. View

Granata V, Fusco R, Belli A, Danti G, Bicci E, Cutolo C . Diffusion weighted imaging and diffusion kurtosis imaging in abdominal oncological setting: why and when. Infect Agent Cancer. 2022; 17(1):25. PMC: 9185934. DOI: 10.1186/s13027-022-00441-3. View

Zhang X, Guo Q, Shi Y, Xu W, Yu S, Yang Z . Tc-3PRGD2 scintigraphy to stage liver fibrosis and evaluate reversal after fibrotic stimulus withdrawn. Nucl Med Biol. 2017; 49:44-49. DOI: 10.1016/j.nucmedbio.2017.02.004. View

Cheng Z, Yang Q, He H, Li R, Li X, Jiang H . Intravoxel incoherent motion diffusion-weighted imaging and shear wave elastography for evaluating peritumoral liver fibrosis after transarterial chemoembolization in a VX2 rabbit liver tumor model. Front Physiol. 2022; 13:893925. PMC: 9597251. DOI: 10.3389/fphys.2022.893925. View

Sheng R, Wang H, Yang L, Jin K, Xie Y, Chen C . Diffusion kurtosis imaging and diffusion-weighted imaging in assessment of liver fibrosis stage and necroinflammatory activity. Abdom Radiol (NY). 2016; 42(4):1176-1182. DOI: 10.1007/s00261-016-0984-4. View

Bataller R, Brenner D . Liver fibrosis. J Clin Invest. 2005; 115(2):209-18. PMC: 546435. DOI: 10.1172/JCI24282. View

Lai M, Afdhal N . Liver Fibrosis Determination. Gastroenterol Clin North Am. 2019; 48(2):281-289. DOI: 10.1016/j.gtc.2019.02.002. View

10.

Petitclerc L, Sebastiani G, Gilbert G, Cloutier G, Tang A . Liver fibrosis: Review of current imaging and MRI quantification techniques. J Magn Reson Imaging. 2016; 45(5):1276-1295. DOI: 10.1002/jmri.25550. View

11.

Le Bihan D, Ichikawa S, Motosugi U . Diffusion and Intravoxel Incoherent Motion MR Imaging-based Virtual Elastography: A Hypothesis-generating Study in the Liver. Radiology. 2017; 285(2):609-619. DOI: 10.1148/radiol.2017170025. View

12.

Lv J, Xu Y, Xu L, Nie L . Quantitative Functional Evaluation of Liver Fibrosis in Mice with Dynamic Contrast-enhanced Photoacoustic Imaging. Radiology. 2021; 300(1):89-97. DOI: 10.1148/radiol.2021204134. View

13.

Tosun M, Onal T, Uslu H, Alparslan B, Cetin Akhan S . Intravoxel incoherent motion imaging for diagnosing and staging the liver fibrosis and inflammation. Abdom Radiol (NY). 2019; 45(1):15-23. DOI: 10.1007/s00261-019-02300-z. View

14.

Ichikawa S, Motosugi U, Morisaka H, Sano K, Ichikawa T, Enomoto N . MRI-based staging of hepatic fibrosis: Comparison of intravoxel incoherent motion diffusion-weighted imaging with magnetic resonance elastography. J Magn Reson Imaging. 2014; 42(1):204-10. DOI: 10.1002/jmri.24760. View

15.

Sheng R, Jin K, Yang L, Wang H, Liu H, Ji Y . Histogram Analysis of Diffusion Kurtosis Magnetic Resonance Imaging for Diagnosis of Hepatic Fibrosis. Korean J Radiol. 2018; 19(5):916-922. PMC: 6082766. DOI: 10.3348/kjr.2018.19.5.916. View

16.

Anstee Q, Reeves H, Kotsiliti E, Govaere O, Heikenwalder M . From NASH to HCC: current concepts and future challenges. Nat Rev Gastroenterol Hepatol. 2019; 16(7):411-428. DOI: 10.1038/s41575-019-0145-7. View

17.

Liang J, Song X, Xiao Z, Chen H, Shi C, Luo L . Using IVIM-MRI and R2⁎ Mapping to Differentiate Early Stage Liver Fibrosis in a Rat Model of Radiation-Induced Liver Fibrosis. Biomed Res Int. 2019; 2018:4673814. PMC: 6304485. DOI: 10.1155/2018/4673814. View

18.

Kettunen M, Sierra A, Narvainen M, Valonen P, Yla-Herttuala S, Kauppinen R . Low spin-lock field T1 relaxation in the rotating frame as a sensitive MR imaging marker for gene therapy treatment response in rat glioma. Radiology. 2007; 243(3):796-803. DOI: 10.1148/radiol.2433052077. View

19.

Singh S, Venkatesh S, Wang Z, Miller F, Motosugi U, Low R . Diagnostic performance of magnetic resonance elastography in staging liver fibrosis: a systematic review and meta-analysis of individual participant data. Clin Gastroenterol Hepatol. 2014; 13(3):440-451.e6. PMC: 4333001. DOI: 10.1016/j.cgh.2014.09.046. View

20.

Bedossa P, Poynard T . An algorithm for the grading of activity in chronic hepatitis C. The METAVIR Cooperative Study Group. Hepatology. 1996; 24(2):289-93. DOI: 10.1002/hep.510240201. View